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Phd Computer Science Jobs in Tomball, TX (NOW HIRING)

Hp

AI Data Scientist - Enterprise AI

Spring, TX

$130K - $205K/yr

Bachelor's, Master's, or PhD in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Statistics, Engineering, Mathematics, or a related field. * 3+ years of experience ...

Hexagon AB

Lead Data Scientist

Houston, TX · On-site

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field (PhD preferred) * Track record of deploying ML systems processing large-scale datasets with proper ...

Hp

AI Data Scientist

Spring, TX

$130K - $205K/yr

PhD related to AI or a Master's degree in computer science or a related field and 5+ years of experience with GenAI and related technologies including machine learning. data analytics, and ...

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How much do phd computer science jobs pay per year?

As of Aug 20, 2026, the average yearly pay for phd computer science in Tomball, TX is $78,681.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,400.00 and $88,500.00 per year, depending on experience, location, and employer.

What is a PhD in computer science?

A PhD in Computer Science is the highest academic degree in the field, focused on advanced research and the creation of new knowledge in computing. It typically involves several years of coursework followed by original research culminating in a dissertation. Graduates often pursue careers in academia, research, or advanced industry roles that require deep technical expertise and problem-solving skills.

What are the key skills and qualifications needed to thrive as a PhD in computer science?

To thrive as a PhD in Computer Science, you need advanced expertise in algorithms, programming, and research methodologies, typically supported by a doctoral degree in computer science or a related field. Mastery of programming languages (such as Python, Java, or C++), data analysis tools, and familiarity with version control systems like Git are commonly required, along with experience in publishing academic research. Critical thinking, problem-solving, strong written and verbal communication, and perseverance are vital soft skills for success in research and collaboration. These skills and qualifications are essential for making significant contributions to the field, driving innovation, and effectively sharing knowledge with the academic and professional community.

What are some common challenges faced by PhD computer science students during their research?

PhD Computer Science students often encounter challenges such as defining a clear and impactful research problem, managing long-term projects with limited guidance, and coping with the pressure to publish in top-tier conferences or journals. Balancing coursework, teaching responsibilities, and research can also be demanding. Effective time management, networking with peers and mentors, and seeking regular feedback can help students navigate these challenges and achieve their academic goals.

Is a PhD worth it for computer science?

A PhD in computer science can lead to careers in research, academia, or specialized industry roles, often requiring advanced skills in algorithms, data analysis, and programming. While it offers opportunities for high-level positions and expertise, it typically involves several years of study and may not be necessary for most industry jobs, which often value practical experience and skills. The decision depends on career goals and the desire for research or teaching roles.

What can I do after a PhD in computer science?

A PhD in computer science prepares individuals for careers in academia, research, or advanced industry roles such as data scientist, machine learning engineer, or software architect. Graduates often pursue postdoctoral research, work in R&D departments, or obtain certifications in specialized tools and programming languages to enhance their expertise.

What jobs can I get with a PhD in computer science?

A PhD in computer science qualifies individuals for advanced roles such as research scientist, data scientist, machine learning engineer, or university professor. These positions often require strong analytical skills, programming expertise, and knowledge of algorithms, data structures, and AI tools. Graduates may work in academia, industry research labs, or technology companies focusing on innovation and development.

What job categories do people searching Phd Computer Science jobs in Tomball, TX look for?

The top searched job categories for Phd Computer Science jobs in Tomball, TX are:

What cities near Tomball, TX are hiring for Phd Computer Science jobs?

Cities near Tomball, TX with the most Phd Computer Science job openings:

Phd Computer Science jobs near you
Infographic showing various Phd Computer Science job openings in Tomball, TX as of August 2026, with employment types broken down into 8% Internship, 72% Full Time, 10% Part Time, and 10% Contract. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $78,681 per year, or $37.8 per hour.

Assistant / Associate Professor of Surgery - VITAL Lab (AI & Aortic Surgery Research)

Baylor College of Medicine

Houston, TX • On-site

Full-time

Re-posted 4 days ago

Baylor College of Medicine rating

8.0

Company rating: 8.0 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

189th of 620 rated colleges and universities

Job description

Assistant / Associate Professor of Surgery - VITAL Lab (AI & Aortic Surgery Research)
Division: Surgery
Work Arrangement:
Location: Houston, TX
Salary Range:
FLSA Status: Exempt
Work Schedule:
Baylor College of Medicine and Department Summary:
Baylor (www.bcm.edu) is recognized as one of the nation's premier academic health science centers and is known for excellence in education, research, and healthcare and community service. Located in the heart of the world's largest medical center (Texas Medical Center), Baylor is affiliated with multiple educational, healthcare and research affiliates (Baylor Affiliates).
Summary
Baylor College of Medicine is seeking an exceptional PhD-level AI researcher to serve as a founding leader of the Vascular Intelligence for Translational AI & Learning (VITAL) Lab-a newly funded, $14M initiative focused on transforming aortic surgery through advanced artificial intelligence, data science, and translational research.
This individual will be responsible for building the VITAL Lab from inception, establishing a state-of-the-art research infrastructure, and leading the development of innovative AI-enabled solutions to improve diagnosis, procedural planning, and outcomes in aortic disease.
The ideal candidate will combine deep technical expertise in AI delivery (computer vision, machine learning, multimodal data) with demonstrated experience in clinical research-preferably in cardiovascular, aortic surgery domains.
Job Duties
VITAL Lab Development & Leadership
  • Lead the end-to-end buildout of the VITAL Lab, including infrastructure, governance, and research roadmap
  • Develop a world-class AI research ecosystem aligned with Baylor Medicine's strategic priorities in vascular and aortic care
  • Oversee utilization of a $14M grant portfolio, ensuring execution against milestones, deliverables, and reporting requirements
  • Establish partnerships across surgery, radiology, cardiology, and computational sciences

AI & Data Platform Development
  • Design and deploy scalable AI pipelines for imaging, clinical, and genomic data
  • Lead development of a large-scale, high-quality aortic research database (imaging repository, clinical registry, biobank integration)
  • Implement machine learning, deep learning, and computer vision models for:
    • Aortic disease detection and classification
    • Surgical planning and simulation, including digital twin creation and computational fluid dynamic analysis
    • Outcomes prediction and risk stratification
  • Drive AI model deployment and real-world clinical integration

Research & Academic Contributions
  • Lead high-impact peer-reviewed publications in top-tier journals
  • Develop and submit extramural grant proposals (NIH, NSF, DoD, industry partnerships)
  • Present research at national and international conferences
  • Establish the VITAL Lab as a global leader in AI-driven aortic surgery research

Clinical & Translational Collaboration
  • Collaborate closely with vascular and aortic surgeons to translate clinical needs into AI solutions
  • Integrate AI tools into clinical workflows and surgical decision-making
  • Support the development of next-generation clinical trials leveraging AI insights

Education & Mentorship
  • Mentor trainees including PhD students, residents, fellows, and research staff
  • Develop educational programming in AI for surgery and translational data science

Minimum Qualifications
  • PhD in Computer Science, Biomedical Engineering, Data Science, or related field
  • Demonstrated expertise in machine learning, deep learning, and AI system development
  • Proven track record of peer-reviewed publications and research impact
  • Experience building or contributing to large-scale research datasets or platforms

Preferred qualifications:
  • Prior experience in cardiovascular disease research
  • Experience working in academic medical centers or translational research environments
  • Demonstrated success in AI deployment
  • Experience managing large research programs, labs, or grant-funded initiatives
  • Proficiency in medical imaging analysis (CT, MRI, 3D reconstruction)
  • Familiarity with regulatory frameworks (HIPAA, data governance, IRB)

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.
Requisition ID: 25515

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